Mac mini (2024)
Geekbench AI Score
13232
Single Precision Score
14927
Half Precision Score
13721
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | umoms69 |
| Upload Date | March 08 2025 02:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6761
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7120
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6474
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12295
199.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12603
204.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12048
195.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
45886
53.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48042
56.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
46752
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
6371
505.3 IPS |
|
|
Object Detection (HP)
|
100% |
7044
558.7 IPS |
|
|
Object Detection (Q)
|
92% |
6402
511.0 IPS |
|
|
Face Detection (SP)
|
100% |
23567
280.0 IPS |
|
|
Face Detection (HP)
|
100% |
25037
297.5 IPS |
|
|
Face Detection (Q)
|
100% |
20668
245.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30827
237.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32718
252.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
30146
235.7 IPS |
|
|
Style Transfer (SP)
|
100% |
103943
133.6 IPS |
|
|
Style Transfer (HP)
|
100% |
112724
144.9 IPS |
|
|
Style Transfer (Q)
|
96% |
109999
142.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17668
652.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17666
652.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16726
617.6 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5171
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5118
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2145
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1727
29.8 IPS |
